Energy-Efficient Power Allocation Using Probabilistic Interference Model for OFDM-Based Green Cognitive Radio Networks
| Autor: | A.K. Karmokar, Alagan Anpalagan, Muhammad Jaseemuddin, Muhammad Naeem |
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| Rok vydání: | 2022 |
| Předmět: |
Engineering
Control and Optimization Optimization problem Orthogonal frequency-division multiplexing Energy Engineering and Power Technology Interference (wave propagation) lcsh:Technology Subcarrier jel:Q40 Fractional programming jel:Q jel:Q43 jel:Q42 jel:Q41 Electronic engineering jel:Q48 green energy allocation energy efficiency cognitive radio jel:Q47 Electrical and Electronic Engineering Engineering (miscellaneous) jel:Q49 Computer Science::Information Theory Renewable Energy Sustainability and the Environment business.industry lcsh:T Transmitter jel:Q0 jel:Q4 Cognitive radio Channel state information business Energy (miscellaneous) |
| Zdroj: | Energies, Vol 7, Iss 4, Pp 2535-2557 (2014) Energies Volume 7 Issue 4 Pages 2535-2557 |
| Popis: | We study the energy-efficient power allocation techniques for OFDM-based cognitive radio (CR) networks, where a CR transmitter is communicating with CR receivers on a channel borrowed from licensed primary users (PUs). Due to non-orthogonality of the transmitted signals in the adjacent bands, both the PU and the cognitive secondary user (SU) cause mutual-interference. We assume that the statistical channel state information between the cognitive transmitter and the primary receiver is known. The secondary transmitter maintains a specified statistical mutual-interference limits for all the PUs communicating in the adjacent channels. Our goal is to allocate subcarrier power for the SU so that the energy efficiency metric is optimized as well as the mutual-interference on all the active PU bands are below specified bounds. We show that the green power loading problem is a fractional programming problem. We use Charnes-Cooper transformation technique to obtain an equivalent concave optimization problem for what the solution can be readily obtained. We also propose iterative Dinkelbach method using parametric objective function for the fractional program. Numerical results are given to show the effect of different interference parameters, rate and power thresholds, and number of PUs. |
| Databáze: | OpenAIRE |
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